Large Foundation Model for Ads Recommendation, Feedback-Driven Approaches in RAG, and More!

Vol.118 for Aug 18 - Aug 24, 2025

Stay Ahead of the Curve with the Latest Advancements and Discoveries in Information Retrieval.

This week’s newsletter highlights the following research:

1. Large Foundation Model for Ads Recommendation, from Tencent

2. A Survey of Feedback-Driven Approaches in Retrieval-Augmented Generation, from Rathee et al.

3. Scaling Laws for Click-Through Rate Prediction with Knowledge Distillation, from Meituan

4. Closing the Performance Gap in Generative Recommenders with Collaborative Tokenization and Efficient Modeling, from Lepage et al.

5. Can LLM-Generated QA Data Replace Human Benchmarks for RAG Systems?, from van Elburg et al.

6. Reducing False Positives in Sequential Recommendation through Explicit Negative Feedback Modeling, from Ivanova et al.

7. An Industry Study of RAG Implementation Challenges and Practices, from Brehme et al.

8. A Framework for Ultra-Long Behavioral Modeling in Candidate Retrieval, from ByteDance

9. Representation Quantization for Collaborative Filtering Augmentation, from Kuaishou

10. Task-Specialized Co-training for Information Retrieval and Semantic Similarity, from Tencent